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Intelligent Systems'2014 pp 193–204Cite as

Integrated Approach for Developing Timed Fuzzy Cognitive Maps

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 322))

Abstract

Time is a basic aspect in any field, as factors evolve over time and influence the progression of any procedure. This work proposes an integrated approach to developing Timed Fuzzy Cognitive Maps (T-FCMs), an extension of FCMs that can handle uncertainty to infer a result. TFCMs take into consideration the time evolution of any procedure and permit the production of intermediate results and the influence of exterior parameters. It described the proposed method to develop T-FCM and then T-FCM is applied to develop a Medical Decision Support System.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science & Engineering, University of Ioannina, Ioannina, Greece

    Evangelia Bourgani & George Manis

  2. Dept. of Computer Engineering, TEI of Epirus, Artas, Greece

    Evangelia Bourgani & Chrysostomos D. Stylios

  3. School of Health and Welfare Professions, TEI of Western Greece, Patras, Greece

    Voula C. Georgopoulos

Authors
  1. Evangelia Bourgani
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  2. Chrysostomos D. Stylios
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  3. George Manis
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  4. Voula C. Georgopoulos
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Corresponding author

Correspondence to Evangelia Bourgani .

Editor information

Editors and Affiliations

  1. School of Computing and Communications, Lancaster University, Lancaster, United Kingdom

    P. Angelov

  2. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    K.T. Atanassov

  3. Intelligent Systems Department, Bulgarian Academy of Sciences Inst. of Infor. & Communication Techn., Sofia, Bulgaria

    L. Doukovska

  4. Metalurgy, University of Chemical Technology and, Sofia, Bulgaria

    M. Hadjiski

  5. University of Library Studies and IT (ULSIT), Sofia, Bulgaria

    V. Jotsov

  6. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    J. Kacprzyk

  7. Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, New Zealand

    N. Kasabov

  8. Intelligent Systems Laboratory, Prof. Assen Zlatarov University Faculty of Technical Sciences, Bourgas, Bulgaria

    S. Sotirov

  9. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    E. Szmidt

  10. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    S. Zadrożny

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Bourgani, E., Stylios, C.D., Manis, G., Georgopoulos, V.C. (2015). Integrated Approach for Developing Timed Fuzzy Cognitive Maps. In: Angelov, P., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-11313-5_19

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  • DOI: https://doi.org/10.1007/978-3-319-11313-5_19

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11312-8

  • Online ISBN: 978-3-319-11313-5

  • eBook Packages: EngineeringEngineering (R0)

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